Mohammed, Mohssen

Machine learning: algorithms and applications - Florida CRC Press 2017 - xxii, 204p. With index

CONTENTS

Introduction
1 Introduction to Machine Learning

SECTION I: SUPERVISED LEARNING ALGORITHMS
2 Decision Trees
3 Rule-Based Classifiers
4 Naïve Bayesian Classification
5 The k-Nearest Neighbors Classifiers
6 Neural Networks
7 Linear Discriminant Analysis
8 Support Vector Machine

SECTION II: UNSUPERVISED LEARNING ALGORITHMS
9 k-Means Clustering
10 Gaussian Mixture Model
11 Hidden Markov Model
12 Principal Component Analysis

Appendix I: Transcript of Conversations with Chatbot
Appendix II: Creative Chatbot


Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.

https://www.crcpress.com/Machine-Learning-Algorithms-and-Applications/Mohammed-Khan-Bashier/p/book/9781498705387

9781498705387


Machine learning
Computer algorithms
Machine learning - Mathematical models

006.312 / M6M2

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